Top 36 Python developer Jobs in Miami Beach Fl

Machine Learning Engineer II, Burger King, US&C
Burger King —Miami, FL
- Full-time
- Computer Science
- Mid-level
- Office
- Paid parental leave
- Parental leave
Quick Apply
Software Engineer, Data Infrastructure & Acquisition - Miami, FL, USA
Speechify —Miami, FL
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
Principal, AI Forward Deployment Engineer
Princess Cruises —Miami, FL
- Full-time
- Hybrid work
- 6 years
- Computer Science
- Writing skills
- Employee stock purchase plan
- Health insurance
HealthShare Engineer (Remote Opportunity)
VetsEZ —Miami, FL
- Full-time
- Remote
- Background check
- Azure
- Computer Science
- Health insurance
- Dental insurance
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Principal Software Engineer
Lennar —Miami, FL
- Full-time
- Azure
- System design
- Office
- Paid parental leave
- Health insurance
Senior Software Engineer - Integrations
Worth AI —Miami, FL
- Full-time
- Hybrid work
- System design
- 8 years
- Mentoring
- Paid holidays
- Dental insurance
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Senior Full Stack Developer
Sabal Tech —Fort Lauderdale, FL
- Computer science
- Computer Science
- Bachelor of Science
Software Engineer, Data Infrastructure & Acquisition - Fort Lauderdale, FL, USA
Speechify —Fort Lauderdale, FL
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
Senior Cloud Engineer
BHG Financial —Davie, FL
- Full-time
- Remote
- 5 years
- System design
- Continuous improvement
- Health insurance
- Dental insurance
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Automation Lead
CGI Group, Inc. —United States
- $57,100 - $154,300 a year
- Azure
- 8 years
- Continuous improvement
- Paid parental leave
- Paid holidays
6d
Lead DevSecOps Engineer
CGI Group, Inc. —United States
- $57,100 - $154,300 a year
- Windows
- Continuous improvement
- Mentoring
- Paid parental leave
- Paid holidays
7d

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Machine Learning Engineer II, Burger King, US&C

Burger King -
Miami, FL

Quick Apply

Job Details

Full-time

Benefits

Paid parental leave
Parental leave

Qualifications

Cloud data warehouses
Model evaluation

Full Job Description

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories.

RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.

RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

As a Machine Learning Engineer II, you will be responsible for developing and iterating machine learning models that drive measurable improvements in restaurant performance, including traffic and profitability, on at scale. This role focuses on transforming large-scale transactional and operational data into predictive and prescriptive models that power data-driven decision systems across the Burger King U.S. & Canada business.

You will build and refine a range of applied machine learning solutions, including causal inference models, optimization frameworks, recommendation systems, and behavioral segmentation models. This role emphasizes strong statistical rigor, experimentation, and continuous model improvement to ensure models deliver accurate, stable, and economically meaningful outcomes.

Working closely with Analytics Engineering, Data Engineering, and MLOps teams, you will contribute to the design and evaluation of experiments and ensure models are effectively integrated into production systems, while maintaining primary ownership of the modeling lifecycle from feature engineering on curated datasets to validation and iteration.

RBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week out of our office in Miami, FL.

What You'll Do:

Machine Learning Model Development II

Design, develop, and iterate on machine learning models, including causal inference, recommendation systems, clustering, and optimization models to address high-impact business problems. Experimentation & Impact Evaluation

Experimentation & Impact Evaluation

Partner with Analytics Engineering to design and evaluate experiments (e.g., A/B testing, matched cohorts, difference-in-differences) to validate model performance and quantify real-world impact.

Optimization & Decision Modeling

Develop models that inform actionable decisions, including prioritization frameworks and expected value–based optimization to drive improvements in traffic and profitability.

Model Evaluation & Continuous Improvement

Monitor, evaluate, and refine model performance using statistical methods, backtesting, and iterative experimentation to ensure accuracy, stability, and sustained impact.

Feature Engineering from Curated Data

Transform curated datasets into high-quality model inputs through feature engineering, selection, and validation, leveraging domain knowledge and statistical techniques.

Collaboration with Engineering & MLOps

Work closely with Analytics Engineering, Data Engineering, and MLOps teams to ensure models are production-ready, scalable, and effectively integrated into downstream systems.

What You'll Bring:

3+ years of experience in machine learning, applied statistics, or a related field, with a focus on developing and evaluating models in real-world applications.
Bachelor’s or Master’s degree in Statistics, Economics, Operations Research, Mathematics, Computer Science, or a related quantitative field; equivalent applied experience will also be considered.
Strong foundation in statistical modeling and machine learning, with the ability to explain model selection, assumptions, and trade-offs.
Experience applying a range of modeling techniques such as regression, clustering, recommendation systems, and optimization methods.
Familiarity with experimental design and causal inference techniques (e.g., A/B testing, difference-in-differences, cohort-based analysis).
Strong programming skills in Python for analysis and model development.
Proficiency in SQL and experience working with large-scale datasets in Snowflake or similar cloud data warehouses.
Experience working in AWS environments (e.g., SageMaker, EMR) and familiarity with workflow orchestration tools such as Dagster or Airflow.

#BurgerKing

Benefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support.

Restaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request.

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python developer jobs in miami beach fl

Machine Learning Engineer II, Burger King, US&C

Software Engineer, Data Infrastructure & Acquisition - Miami, FL, USA

Principal, AI Forward Deployment Engineer

HealthShare Engineer (Remote Opportunity)

Principal Software Engineer

Senior Software Engineer - Integrations

Senior Full Stack Developer

Software Engineer, Data Infrastructure & Acquisition - Fort Lauderdale, FL, USA

Senior Cloud Engineer

Automation Lead

Lead DevSecOps Engineer

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